Assist. Prof. Dr. Hassan M. Hussein Farh , Al-Imam Muhammad Ibn Saud Islamic University, Saudi Arabia
Dr. Hassan M. Hussein Farh is an Assistant Professor at Imam Mohammad ibn Saud Islamic University in Riyadh, Saudi Arabia. With a Ph.D. in Electrical Engineering from Universiti Teknologi Malaysia and King Saud University, Dr. Farh specializes in renewable energy, particularly photovoltaic energy systems, smart grid technologies, and power system reliability. He has held prestigious roles, including postdoctoral researcher at Hong Kong Polytechnic University and assistant professor at King Saud University. Dr. Farh is an active contributor to the scientific community, serving as a reviewer and guest editor for international journals. 🏫🔋🌞💡
Professional Profile
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Suitability
Dr. Hassan M. Hussein Farh is highly suitable for the Outstanding Scientist Award due to his exceptional academic achievements, groundbreaking research in renewable energy, and significant contributions to the field of electrical engineering. His work in photovoltaic energy systems, smart grid technologies, and power system reliability has had a profound impact on the energy sector, addressing critical global challenges such as sustainability and energy efficiency. Dr. Farh’s expertise is reflected in his publication record and the recognition he has received as one of the top 2% world scientists. His interdisciplinary approach, combining engineering with sustainable energy solutions, demonstrates his innovative vision and commitment to advancing scientific knowledge.🔋🌞💡
Education & Experience
- Ph.D. in Electrical Engineering (2019)
- Universiti Teknologi Malaysia & King Saud University 🌏🎓
- M.Sc. in Electrical Engineering (2013)
- B.Sc. in Electrical Engineering (2006)
- Zagazig University, Egypt 🇪🇬
- Assistant Professor
- Imam Mohammad ibn Saud Islamic University (Nov 2022–Present) 👨🏫
- Postdoctoral Researcher
- Hong Kong Polytechnic University (2021–2022) 🔬
- Researcher & Assistant Professor
- King Saud University (2019–2021) 🧑🔬
Professional Development
Dr. Hassan M. Farh has continually expanded his expertise through hands-on experience and rigorous research in the fields of renewable energy, power systems, and smart grids. He has actively contributed to international journals, focusing on photovoltaic systems and hybrid energy solutions. As a guest editor for several renewable energy special issues and a reviewer for prominent journals, he remains at the forefront of energy technology research. His ongoing professional journey is driven by a commitment to integrating cutting-edge technologies to improve energy efficiency and sustainability. 🔋🌱📘📝
Research Focus
Dr. Hassan M. Farh’s research is focused on improving renewable energy systems, with an emphasis on photovoltaic technologies and their integration into power systems. His work also explores the reliability of energy systems, hybrid energy solutions, and optimization methods for renewable generation. Dr. Farh’s research contributes to the development of smart grids and energy-efficient systems that aim to meet global energy demands while reducing environmental impacts. His work is at the intersection of electrical engineering and sustainable energy practices. 🌞🔧⚡🌍
Awards & Honors
- Best BRE Outstanding Young Researcher 2021/22 – Hong Kong Polytechnic University 🏆
- Top 2% World Scientists (AD Scientific Index 2022) 🌍🔝
- Best Outstanding Researcher – King Saud University (2013) 🏅
Publication Top Notes
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Maximum power extraction from wind energy system based on fuzzy logic control
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Citation: 223
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Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC
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Citation: 218
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A comprehensive review of corrosion protection and control techniques for metallic pipelines
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Citation: 110
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Simulation and experimental validation of fast adaptive particle swarm optimization strategy for photovoltaic global peak tracker under dynamic partial shading
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Citation: 106
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A novel crow search algorithm auto-drive PSO for optimal allocation and sizing of renewable distributed generation
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Citation: 90